Genomic selection in multi-breed dairy cattle populations.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1062494 |
Resumo: | Abstract Genomic selection has been a valuable tool for increasing the rate of genetic improvement in purebred dairy cattle populations. However, there also are many large populations of crossbred dairy cattle in the world, and multi-breed genomic evaluations may be a valuable tool for improving rates of genetic gain in those populations. Multi-breed models are an extension of single-breed genomic models in which a genomic relationship matrix is used to account for the breed origin of alleles in the population, as well as allele frequency differences between breeds. Most studies have found little benefit from multi-breed evaluations for pure breeds that have large reference populations. However, breeds with small reference populations may benefit from inclusion in a multi-breed evaluation without adversely affecting evaluations for purebred performance. Most research has been conducted in taurine breeds, so additional research is needed to determine the value of multi-breed reference populations for composite and synthetic breeds that include both indicine and taurine cattle adapted to tropical climates. |
id |
EMBR_f90b5c69a92fef6b6d0f545be638c477 |
---|---|
oai_identifier_str |
oai:www.alice.cnptia.embrapa.br:doc/1062494 |
network_acronym_str |
EMBR |
network_name_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository_id_str |
2154 |
spelling |
Genomic selection in multi-breed dairy cattle populations.Crossbred cattleCrossbreedingGenomic evaluationMulti-breed populationsAbstract Genomic selection has been a valuable tool for increasing the rate of genetic improvement in purebred dairy cattle populations. However, there also are many large populations of crossbred dairy cattle in the world, and multi-breed genomic evaluations may be a valuable tool for improving rates of genetic gain in those populations. Multi-breed models are an extension of single-breed genomic models in which a genomic relationship matrix is used to account for the breed origin of alleles in the population, as well as allele frequency differences between breeds. Most studies have found little benefit from multi-breed evaluations for pure breeds that have large reference populations. However, breeds with small reference populations may benefit from inclusion in a multi-breed evaluation without adversely affecting evaluations for purebred performance. Most research has been conducted in taurine breeds, so additional research is needed to determine the value of multi-breed reference populations for composite and synthetic breeds that include both indicine and taurine cattle adapted to tropical climates.John Bruce Cole, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, USA; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL.COLE, J. B.SILVA, M. V. G. B.2017-02-01T11:11:11Z2017-02-01T11:11:11Z2017-02-0120162017-02-21T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRevista Brasileira de Zootecnia, v. 45, n. 4, p. 195-202, 2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1062494enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:07:09Zoai:www.alice.cnptia.embrapa.br:doc/1062494Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:07:09falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:07:09Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Genomic selection in multi-breed dairy cattle populations. |
title |
Genomic selection in multi-breed dairy cattle populations. |
spellingShingle |
Genomic selection in multi-breed dairy cattle populations. COLE, J. B. Crossbred cattle Crossbreeding Genomic evaluation Multi-breed populations |
title_short |
Genomic selection in multi-breed dairy cattle populations. |
title_full |
Genomic selection in multi-breed dairy cattle populations. |
title_fullStr |
Genomic selection in multi-breed dairy cattle populations. |
title_full_unstemmed |
Genomic selection in multi-breed dairy cattle populations. |
title_sort |
Genomic selection in multi-breed dairy cattle populations. |
author |
COLE, J. B. |
author_facet |
COLE, J. B. SILVA, M. V. G. B. |
author_role |
author |
author2 |
SILVA, M. V. G. B. |
author2_role |
author |
dc.contributor.none.fl_str_mv |
John Bruce Cole, Animal Genomics and Improvement Laboratory, Beltsville, Maryland, USA; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL. |
dc.contributor.author.fl_str_mv |
COLE, J. B. SILVA, M. V. G. B. |
dc.subject.por.fl_str_mv |
Crossbred cattle Crossbreeding Genomic evaluation Multi-breed populations |
topic |
Crossbred cattle Crossbreeding Genomic evaluation Multi-breed populations |
description |
Abstract Genomic selection has been a valuable tool for increasing the rate of genetic improvement in purebred dairy cattle populations. However, there also are many large populations of crossbred dairy cattle in the world, and multi-breed genomic evaluations may be a valuable tool for improving rates of genetic gain in those populations. Multi-breed models are an extension of single-breed genomic models in which a genomic relationship matrix is used to account for the breed origin of alleles in the population, as well as allele frequency differences between breeds. Most studies have found little benefit from multi-breed evaluations for pure breeds that have large reference populations. However, breeds with small reference populations may benefit from inclusion in a multi-breed evaluation without adversely affecting evaluations for purebred performance. Most research has been conducted in taurine breeds, so additional research is needed to determine the value of multi-breed reference populations for composite and synthetic breeds that include both indicine and taurine cattle adapted to tropical climates. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2017-02-01T11:11:11Z 2017-02-01T11:11:11Z 2017-02-01 2017-02-21T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Revista Brasileira de Zootecnia, v. 45, n. 4, p. 195-202, 2016. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1062494 |
identifier_str_mv |
Revista Brasileira de Zootecnia, v. 45, n. 4, p. 195-202, 2016. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1062494 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
_version_ |
1794503431842430976 |